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Joint transmit antenna selection and precoding for millimeter wave massive MIMO systems

机译:毫米波大规模MIMO系统的联合传递天线选择和预编码

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Millimeter wave (mmW) communication coupled with massive MIMO architecture is attaining considerable attention to overcome the huge data rate requirements. Increasing the dimensions of a massive MIMO architecture provides spatial multiplexing gains, but at the cost of decrease in hardware efficiency. To optimize the energy efficiency of massive MIMO systems, in this paper, focusing on a sub-connected hybrid architecture, we propose a joint transmit antenna selection and precoding technique. Low Complexity heuristic algorithms are used to perform the antenna selection in order to limit the number of active antennas, hence, decreasing the power consumption which subsequently increases the energy efficiency. Precoding for the selected transmit antennas is performed using successive interference cancellation (SIC) based scheme. Simulation results show that the heuristic algorithms based transmit antenna selection scheme requires less computations and its performance is close to exhaustive search algorithm. Furthermore, SIC based precoding enables to overcome serious signal attenuation of mmW systems and performs best in terms of spectral efficiency for a partially connected hybrid structure. The joint solution is optimal in-terms of computational complexity and energy efficiency, which optimizes the performance of mmW massive MIMO systems. (C) 2020 Elsevier B.V. All rights reserved.
机译:毫米波(MMW)通信与大规模的MIMO架构相结合,克服了大量的数据速率要求。增加大规模MIMO架构的尺寸提供空间复用增益,但在硬件效率下降的成本下降。为了优化大规模MIMO系统的能量效率,本文专注于副连接混合架构,我们提出了一种关节发射天线选择和预编码技术。低复杂性启发式算法用于执行天线选择,以便限制有源天线的数量,因此,降低随后增加能量效率的功耗。使用基于连续的干扰消除(SIC)的方案来执行所选择的发射天线的预编码。仿真结果表明,基于启发式算法的发射天线选择方案需要较少的计算,其性能接近详尽的搜索算法。此外,基于SiC的预编码使得能够克服MMW系统的严重信号衰减,并且就部分连接的混合结构的光谱效率而言最佳地执行。联合解决方案是计算复杂性和能效的最佳状态,可优化MMW大规模MIMO系统的性能。 (c)2020 Elsevier B.v.保留所有权利。

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